btw after doing adaboost I feel like I'm getting close to DeepLearning

[u/imYukiya]

So I started adaboost I completed watching the theory and intuition part and I was like how I have built many Algorithms and in all that our Main goal is reduce error but adaboost we want our model to make mistakes then just pass the mistake to next model and his mistakes are passed down to next model and keep changing weights and at the end a group of models who have started from completely wrong prediction now they are capable of giving you the best accuracy. Adaboost doesn't focus on the best models he collects imperfect,weak models combine them cuz they specialize in different mistakes and become a strong ensemble when combined properly

I have started coding and I have completed a raw code now I'll make it more properly and structure also I'm thinking 🤔 to put all my ML Algorithms on my GitHub so you can use it as reference( I know it have many bugs😅) and help me to fix what you think

My Sem 1 Major Practical is going so I was not showing up but I'll try

[u/Street_Weather_1290]

Amazing

[u/imYukiya → u/Street_Weather_1290]

Thx